Abstract
This paper presents the general framework and the current results of a project that aims to develop a system for knowledge discovery and extraction from the texts of Electronic Health Records in Bulgarian language. The proposed hybrid approach integrates language technologies and conceptual processing. The system generates conceptual graphs encoding the patient case history, which contains templates for the patient’s diseases, symptoms and treatments. We describe simple inference in the generated graphs resource bank. Some experiments and their evaluation are presented in the article.
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Boytcheva, S., Angelova, G. (2009). Towards Extraction of Conceptual Structures from Electronic Health Records. In: Rudolph, S., Dau, F., Kuznetsov, S.O. (eds) Conceptual Structures: Leveraging Semantic Technologies. ICCS 2009. Lecture Notes in Computer Science(), vol 5662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03079-6_8
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DOI: https://doi.org/10.1007/978-3-642-03079-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03078-9
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